Abstract
Created intentionally or spontaneously, cyberworlds are information spaces and communities that immensely augment the way we interact, participate in business and receive information throughout the world. This paper reports position statements presented at the plenary panel of the 2015th International Conference on Cyberworlds. First, the problems of enhancing creativity in cyberworlds using new interfaces are considered. It follows by the discussions on using biometric interfaces in on-line services. Finally, the challenges of using brain-computer interfaces and emotion recognition using electroencephalograms are considered.
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References
Kunii, T.L., Luciani, A. (eds.): Cyberworlds. Springer, Heidelberg (1998)
Google acquires UK artificial intelligence start-up Deepmind, Guardian. http://www.theguardian.com/technology/2014/jan/27/google-acquires-uk-artificial-intelligence-startup-deepmind
Liggett, S., Heald, K., Earnshaw, R.A., Thompson, E., Excell, P.S.: Collaborative research in art, design and new media - challenges and opportunities. In: Proceedings of Internet Technologies and Applications, ITA 2015 (2015)
Earnshaw, R.A., Liggett, S., Heald, K.: Interdisciplinary collaboration methodologies in art, design and media. In: Proceedings of International Conference on Internet Technologies and Applications, ITA 2013, UK, pp. 381–388 (2013). ISBN 978-0-946881-81-9
Dolinsky, M.: Facing experience: a painter’s canvas in virtual reality. Ph.D. thesis, Plymouth University (2014). http://pearl.plymouth.ac.uk/handle/10026.1/32042014dolinsky304581phdAnnotated.pdf
Mack, D., Ojalvo, H.E.: Real vs Virtual: Examining Works of Art Online. New York Times, 7 February 2011. http://learning.blogs.nytimes.com/2011/02/07/real-vs-virtual-examining-works-of-art-online/?_r=0
https://sites.google.com/site/ita15artexpoandworkshop/gallery
van Noorden, R.: Online collaboration: scientists and the social network. Nature 512, 126–129 (2014). doi:10.1038/512126a
Clark, J.: Netscape Time: The Making of the Billion-Dollar Start-Up that Changed the World. St. Martin’s Press, Inc., New York City (1999)
Ferrazzi, K.: How successful virtual teams collaborate. Harvard Business Review, 24 October 2012. https://hbr.org/2012/10/how-to-collaborate-in-a-virtua
Curator, T., Anderson, C.: Crowd accelerated innovation. Wired, 27 December 2010. http://www.wired.com/2010/12/ff_tedvideos/
Cunningham, S., Berry, D., Earnshaw, R.A., Excell, P.S., Thompson, E.: Multi-disciplinary creativity and collaboration: utilizing crowd-accelerated innovation and the internet. In: Proceedings of International Conference on Cyberworlds (CW 2015), Sweden (2015)
Accelerating Innovation: The Power of the Crowd. KPMG International. https://www.kpmg.com/Global/en/IssuesAndInsights/ArticlesPublications/accelerating-innovation/Documents/ehealth-implementation.pdf. Accessed July 2016
Kuhn, T.S.: The Structure of Scientific Revolutions. University of Chicago Press, Chicago (1996). (originally published 1962)
Kumar, S., Morstatter, F., Liu, H.: Twitter Data Analytics. Springer, Heidelberg (2013)
Jain, A.K., Dass, S.C., Nandakumar, K.: Soft biometric traits for personal recognition systems. In: Zhang, D., Jain, A.K. (eds.) ICBA 2004. LNCS, vol. 3072, pp. 731–738. Springer, Heidelberg (2004)
Yanushkevich, S., Gavrilova, M., Wang, P., Srihari, S.: Image Pattern Recognition: Synthesis and Analysis in Biometrics. World Scientific, Singapore (2007)
Sultana, M., Paul, P.P., Gavrilova, M.: A concept of social behavioral biometrics: motivation, current developments, and future trends. In: CW 2014, Spain, pp. 271–278. IEEE-CS (2014)
Monwar, Md.M., Gavrilova, M.: FES: a system for combining face, ear and signature biometrics using rank level fusion. In: ITNG 2008, pp. 922–927 (2008)
Bazazian, S., Gavrilova, M.: A hybrid method for context-based gait recognition based on behavioral and social traits. In: Gavrilova, M.L., Tan, C., Saeed, K., Chaki, N., Shaikh, S.H. (eds.) Transactions on Computational Science XXV. LNCS, vol. 9030, pp. 115–134. Springer, Heidelberg (2015)
Al-Zubi, S., Brömme, A., Tönnies, K.D.: Using an active shape structural model for biometric sketch recognition. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 187–195. Springer, Heidelberg (2003)
Sultana, M., Paul, P.P., Gavrilova, M.: Social behavioral biometrics: an emerging trend. Int. J. Pattern Recognit. Mach. Intell. IJPRAI 29(8), 1–20 (2015)
Bakelman, N., Monaco, J.V., Cha, S.-H., Tappert, C.C.: Keystroke biometric studies on password and numeric keypad input. In: Intelligence and Security Informatics Conference (EISIC), pp. 204–207. IEEE-CS (2013)
Ahmad, A., Traore, I.: A New Biometric Technology Based on Mouse Dynamics. IEEE Trans. Dependable Secure Comput. 4(3), 165–179 (2007)
Cheng, B., Lan Zhang, L., Li, X.Y.: SilentSense: silent user identification via touch and movement behavioral biometrics. In: Proceedings of the 19th International Conference on Mobile Computing and Networking, pp. 1–9. ACM (2013)
Eugene, S., Weeber, S.: Software forensics: can we track code to its authors? Comput. Secur. 12(6), 585–595 (1996)
Olejnik, L., Castelluccia, C.: Towards web-based biometric systems using personal browsing interests. In: Proceedings 2013 Eighth International Conference on Availability, Reliability and Security (ARES), pp. 274–280. IEEE-CS (2013)
Yampolskiy, R., Venu, G.: Game playing tactic as a behavioral biometric for human identification. In: Behavioral Biometrics for Human Identification, p. 385 (2010)
Igarashi, K., Miyajimar, C., Itout, K., Takedai, K., Itakurat, F., Abut, H.: Biometric identification using driving behavioral signals. In: ICME 2004, vol. 1, pp. 65–68 (2004)
Paul, P.P., Sultana, M., Gavrilova, M.: Editing behavior to recognize authors of crowdsourced content. In: IEEE International Conference on Systems, Man, and Cybernetics, IEEE SMC 2015, Hong Kong, October 2015
http://qz.com/259624/soon-soldiers-be-communicating-by-telepathy/
The Emotiv EEG device. http://www.emotiv.com/eeg/features.php
Kulish, V., Sourin, A., Sourina, O.: Analysis and visualization of human electroencephalograms seen as fractal time series. J. Mech. Med. Biol. World Sci. 26(2), 175–188 (2006)
Liu, Y., Sourina, O., Nguyen, M.K.: Real-time EEG-based human emotion recognition and visualization. In: Proceedings of the 2010 International Conference on Cyberworlds, Singapore, 20–22 October 2010, pp. 262–269 (2010)
Sourina, O., Liu, Y., Nguyen, M.K.: Real-time EEG-based emotion recognition for music therapy. J. Multimodal User Interfaces 4, 256–277 (2011). Springer
Sourina, O., Liu, Y.: EEG-based serious games. In: Sourina, O., Wortley, D., Kim, S. (eds.) Subconscious Learning via Games and Social Media, pp. 1–16. Springer, Singapore (2015). ISBN 978-981-287-407-8
Wang, Q., Sourina, O.: Real-time mental arithmetic task recognition from EEG signals. IEEE Trans. Neural Syst. Rehabil. Eng. 21, 225–232 (2013)
Liu, Y., Lim, W.L., Hou, X., Sourina, O., Wang, L.: Prediction of human cognitive abilities based on EEG measurements. In: Proceedings of the 2015 International Conference on Cyberworlds, pp. 1–4 (2015)
Hou, X., Liu, Y., Sourina, O., Mueller-Wittig, W.: CogniMeter: EEG-based emotion, mental workload and stress visual monitoring. In: 2015 International Conference on Cyberworlds (CW 2015), pp. 153–160 (2015)
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Sourin, A., Earnshaw, R., Gavrilova, M., Sourina, O. (2016). Problems of Human-Computer Interaction in Cyberworlds. In: Gavrilova, M., Tan, C., Sourin, A. (eds) Transactions on Computational Science XXVIII. Lecture Notes in Computer Science(), vol 9590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53090-0_1
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